Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...

Scientists have created the most detailed maps yet of how genes control one another inside the brains of people with Alzheimer’s disease. Using a powerful new AI-based system called SIGNET, the team ...

“For many cell-based therapies, progress comes from connecting the right pieces at the right moment,” Klein said. “When ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Doctors and scientists have long relied on microscopes to study human tissue and diagnose disease. But today's medical ...

A decades-old challenge in neuroscience has been solved by harnessing artificial intelligence (AI) to identify the electrical signatures of different types of brain cells for the first time, as part ...

AI-powered gene maps reveal the hidden control centers driving Alzheimer’s disease — and point to new hope for treatment.

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to ...

A major neuroscience breakthrough has been achieved with the help of an artificial intelligence (AI) deep learning algorithm. In a study published this month in Cell, a multinational team of ...

A new AI tool, AAnet, has discovered five distinct cell types within tumors, offering a deeper look into cancer's inner diversity. This insight could transform how we treat cancer, enabling more ...

One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...